Papers
1
Total Citations
13
H-Index
1
About
Nadia Krilova is a leading figure in the field of neural engineering and human-robot interaction, with a primary focus on developing intuitive, biosignal-driven control systems for assistive and rehabilitative robotics. Her most influential work, "A Neuromuscular Interface for Robotic Devices Control" (2018, 13 citations), introduces a groundbreaking neuromuscular interface (NI) that leverages multichannel electromyographic (EMG) signals to operate external robotic devices, including commercial models. Krilova's key contribution lies in her hybrid approach, which integrates EMG with electroencephalography (EEG) and limb kinematics to create a more robust and natural control loop. This multimodal fusion significantly enhances the precision and adaptability of robotic prostheses and exoskeletons, addressing critical challenges in real-world deployment. Her research has been cited by peers working on advanced human-machine interfaces and neurorehabilitation, underscoring its practical impact. Krilova's work stands out for its direct applicability to improving the quality of life for individuals with motor impairments, bridging the gap between neural signals and seamless robotic assistance.
Research Focus
Key Achievements
Top Papers
- 1A Neuromuscular Interface for Robotic Devices Control13 citations · 2018